codanna
Enables AI coding agents to access real-time code context and intelligence locally, reducing latency, dependency on external APIs, and security risks from se…
Local code intelligence MCP server and CLI for AI coding agents
- Ask Claude to analyze your local codebase and explain what a specific function does
- Generate documentation by having Claude review code files and create summaries
- Automate code reviews by running Claude against your repository to find potential issues
Enables AI coding agents to access real-time code context and intelligence locally, reducing latency, dependency on external APIs, and security risks from sending proprietary code to third-party services.
Engineering teams integrating AI agents into CI/CD or local development workflows requiring offline code analysis and reduced external dependencies.
https://github.com/bartolli/codanna
By bartolli
How to Get It
claude plugins install bartolli/codanna
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Analyze my local codebase and explain what a specific function does
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 710 GitHub stars; 16 contributors; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 710 GitHub stars; 16 contributors; last commit 0d ago; license Apache-2.0.